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Line 1: The '''layered [[hidden Markov model]]''' ('''LHMM)''') is a [[statistical model]] derived from the [[hidden Markov model]] (HMM). A layered hidden Markov model ~~(LHMM)~~ consists of ''N'' levels of HMMs, where the HMMs on level ''i'' + 1 correspond to observation symbols or probability generators at level ''i''. Every level ''i'' of the LHMM consists of ''K''<sub>''i''</sub> HMMs running in parallel.<ref>N. Oliver, A. Garg and E. Horvitz, "Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels", Computer Vision and Image Understanding, vol. 96, p. 163–180, 2004. </ref>

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